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Multi-Dimensional Resource Allocation for Diverse Safety Message Transmissions in Vehicular Networks | IEEE Conference Publication | IEEE Xplore

Multi-Dimensional Resource Allocation for Diverse Safety Message Transmissions in Vehicular Networks

Publisher: IEEE

Abstract:

To enhance driving safety and road intelligence for connected vehicles, the transmission of safety messages is critical in vehicular networks. In this paper, we focus on ...View more

Abstract:

To enhance driving safety and road intelligence for connected vehicles, the transmission of safety messages is critical in vehicular networks. In this paper, we focus on urban vehicular networks with deployed roadside units, and both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connections can be leveraged for message transmissions. We consider three types of safety messages: periodic messages for vehicular status notification, event-driven messages for urgent situation notification, and messages to achieve collective perception. To support different safety-related services, we develop a multi-dimensional resource allocation scheme to jointly optimize the sensing resource allocation (i.e., selecting vehicles as perception data providers), the V2I/V2V transmission mode selection, and the corresponding communication resource allocation. As the decisions on sensing resource allocation and wireless resource allocation are coupled, an iterative algorithm is proposed to solve the joint optimization problem by taking the differentiated service priorities into consideration. Extensive simulation results are presented to validate the effectiveness of the proposed resource allocation scheme.
Date of Conference: 14-23 June 2021
Date Added to IEEE Xplore: 06 August 2021
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Publisher: IEEE
Conference Location: Montreal, QC, Canada

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